1. Kavya Agarwal, Ritesh Lalwani, Abeena U, Kurian Polachan, “VLC-LE: Energy-Efficient And Secure Visible Light Communication For The Internet Of Bodies”, IEEE International Conference on Smart Applications, Communications and Networking, USA, 2024.(May 28th 2024).
2. Pralay Chakrabarty, Ananya Lakshmi Ravi, Kurian Polachan, “Identification Of IoT Nodes Based On GPIO Pull-Up/Down Resistors”, 22nd IEEE Mediterranean Electrotechnical Conference, Portugal, 2024.(June 25-27 2024).
3. Eledath and V. Ramasubramanian, “Few-Shot Learning for Low-Resource E2E ASR: Mono-, Cross- and Multi-Lingual Scenarios,” in International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2024.(July 1-4 2024).
4. Ansh Avi Khanna, Arjun Subhedar, Ritik Kumar Gupta, Pranav Bhutada, and Raghuram Bharadwaj Diddigi. Personalised diet recommendation system using bandits. IEEE International Conference on Future Machine Learning and Data Science, 2024(20-23 November 2024).
5. Srinivasan M, Siddharth Kothari, Munagala Kalyan Ram, Sankalp Kothari, and Raghuram Bharadwaj Diddigi. Addressing modality mismatch in real estate recommendation using image captioning. IEEE International Conference on Future Machine Learning and Data Science, 2024.
6. S. M. Waseem, I. Batterywala, S. K. Roy and S. Rao, “FPGA Implementation and Analysis of Non-Linear Activation Functions for Implicit Neural Representations,” 2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1-7, doi: 10.1109/TENSYMP61132.2024.10752188.
7. M. Waseem, I. Batterywala, S. K. Roy and S. Rao, “FPGA based Hardware Accelerator for Training Implicit Neural Representations on Edge Devices,” 2024 12th IEEE International Conference on Intelligent Systems and Embedded Design (ISED), NITRourkela,India,2024.
8. Soumick Majumdar, Anshul Madurwar, Anmol Shetty and Kurian Polachan, “hbcLock: Encrypted RF Communication Utilizing Body-Coupled Keys for the Internet of Bodies”, 38th International Conference on VLSI Design & 24th International Conference on Embedded System, VLSID 2025, Bangalore, India (Jan 6-8,2025).
9. Kurian Polachan, and Bijeet Basak, PyBlkSim: An Open-Source Block-Based Discrete-Time Simulator, 17th International Conference on COMmunication Systems & NETworkS, COMSNETS 2025, Bangalore, India (Jan 7-8,2025).
10. Aniket Mitra and Vinu E. Venugopal, “Optimizing Class Subsumption Through Controlled Dynamics of n-Balls in Vector Space,” in Proc. 21st International Conference-The Semantic Web, ESWC 2024, Crete, Greece, May 26-30, 2024, 266-271. doi: https://doi.org/10.1007/978-3-031-78952-6_39
11. Dilli Babu Porlapothula and Kurian Polachan, “CapPUF: A Tamper-Resistant PUF Utilizing I/O Capacitances for IoT Nodes,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), London, United Kingdom,May 25-28, 2025, 5p. doi: https://doi.org/10.1109/ISCAS56072.2025.11043582.
12. Beryl Gnanaraj, Swetha Manivasagam and Jaya Sreevalsan-Nair, “To the Point: From Dynamic Heatmap Video to Gaze Points,” in Proc. 2025 Symposium on Eye Tracking Research and Applications (ETRA ’25), Tokyo Japan May 26 – 29, 2025, 9p. doi: https://doi.org/10.1145/3715669.3725873.
13. Prachi Naik and Vinu E. Venugopal, “Balancing Privacy and Utility: Semantic Anonymization of Time-Aware Knowledge Graphs,” in Proc. 22nd European Semantic Web Conference (ESWC 2025), Portoroz, Slovenia, June 1–5, 2025. doi: https://doi.org/10.1007/978-3-031-94575-5_10.
14. Biplab Das and Viswanath Gopalakrishnan, “Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering,” in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), Tennesse, USA, June 11-15, 2025, pp. 3603-3613. doi: https://openaccess.thecvf.com/content/CVPR2025/papers/Das_Camouflage_Anything_Learning_to_Hide_using_Controlled_Out-painting_and_Representation_CVPR_2025_paper.pdf.
15. Jhelum Das, Vandana M. Ladwani and V. Ramasubramanian, “Clustering by Limit-Cycles in Hopfield Neural Network,” in Proc. International Conference on Artificial Intelligence Applications and Innovations (AIAI 2025), Limassol, Cyprus, June 26–29, 2025, pp. 43-56. doi: https://doi.org/10.1007/978-3-031-96231-8_4.
16. Agnibh Pathak, Soham Bhattacharjee, Tulika Saha and Sriparna Saha, “Does Sentiment and Emotion affect Mental Health? A Multi-task Classification Framework for Comprehensive Understanding of Mental Health, Emotion, and Sentiment from Motivational Conversations,” ACM Transactions on Computing for Healthcare, vol. 6, no. 2, 16p., April 2025, Article no. 28. doi: https://doi.org/10.1145/3704740.
17. Karthik Sama, Jaya Sreevalsan-Nair et.al., “mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation,” JMIR Formative Research, vol. 9, June 2025, Article no. e70073. doi: https://doi.org/10.2196/70073.
18. Debanjali Bhattacharya and Neelam Sinha, “Towards understanding the functional connectivity patterns in visual brain network,” Medical & Biological Engineering & Computing, Online June 2025. doi: https://doi.org/10.1007/s11517-025-03389-9.
19. Dhruv Awasthi, Pooja S. B. Rao and Dinesh Babu Jayagopi, “ResumeGenAI: Supporting Job Seekers with LLM-Driven Resume Feedback,” in Proc. 7th ACM Conference on Conversational User Interfaces (CUI’25), Canada, July 8-10, 2025, 9p. doi: https://doi.org/10.1145/3719160.373762.
20. Aisha Aijaz, Arnav Batra, Aryaan Bazaz, Srinath Srinivasa, Raghava Mutharaju and Manohar Kumar, “Moral Compass: A Data-Driven Benchmark for Ethical Cognition in AI,” in Proc. 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16-22, 2025, pp. 9529-9537.
doi: https://doi.org/10.24963/ijcai.2025/1059
21. Apurva Kulkarni, Pooja Bassin and Srinath Srinivasa, “From Dashboards to Do-Boards: A Data-Driven Architecture for Policy Support Systems,” in Proc. 14th International Conference on Electronic Government and the Information Systems Perspective (EGOVIS 2025), Bangkok, Thailand, August 25–27, 2025, pp. 175-189.
doi: https://doi.org/10.1007/978-3-032-02225-7_12
22. Anant Mohan, Yiyong Tan, Sarthak Harne, Viswanath Gopalakrishnan, Bhaskar Banerjee and Rishi Ranjan, “Visual Prompt Aided Single Shot Object Part Segmentation,” in Proc. IEEE International Conference on Image Processing (ICIP), Alaska, USA, September 14-17, 2025, pp. 1396-1401.
doi: https://doi.org/10.1109/ICIP55913.2025.11084470
23. Antara Roy Choudhury, Jeba Berlin, Arita Noelle Prasad, Sowmya Murli, Vijaya Raman, Dinesh Babu Jayagopi and Shyam Sundar Rajagopalan, “VLM-Guided Toddler Behavior Recognition from Semi-Structured Triadic Play Videos,” in Proc. 3rd International Workshop on Multimodal and Responsible Affective Computing (MRAC ’25), Dublin, Ireland, October 27-31, 2025, pp. 75 – 84.doi: https://doi.org/10.1145/3746270.3760229
24. Darli Myint Aung, G. R. Sinha, Dinesh Babu Jayagopi, “Shan Handwritten Alphabet Recognition System: A Comparative Study of Machine Learning and Deep Learning Method,” Proc. AISMT 2025, Vadodara, India, Feb 20–21, 2025, pp. 207-222. doi: https://doi.org/10.1007/978-3-032-08260-2
25. Pooja S. B. Rao, Laxminarayen Nagarajan Venkatesan, Mauro Cherubini, Dinesh Babu Jayagopi, “The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms,” Proc. AIES 2025, Madrid, Spain, Oct 20–22, 2025, vol. 8 no. 3, pp. 2150-2163. doi: https://doi.org/10.1609/aies.v8i3.36702
26. Pooja S. B. Rao, Laxminarayen Nagarajan Venkatesan, Mauro Cherubini, Dinesh Babu Jayagopi, “Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models,” Proc. AIES 2025, Madrid, Spain, Oct 20–22, 2025, vol. 8 no. 3, pp. 2164-2176. doi: https://doi.org/10.1609/aies.v8i3.36703
27. Antara Roy Choudhury, Jeba Berlin, Arita Noelle Prasad, Sowmya Murli, Vijaya Raman, Dinesh Babu Jayagopi, Shyam Sundar Rajagopalan, “VLM-Guided Toddler Behavior Recognition from Semi-Structured Triadic Play Videos,” Proc. MRAC 2025, Dublin, Ireland, Oct 27–31, 2025, pp. 75-84. doi: https://doi.org/10.1145/3746270.3760229
28. Nandhu, G. R. Sinha, Vinu E. Venugopal, “NSAP: A Neural Network-Based Stress Analysis Pipeline Using EEG Topographic Images,” Proc. AISMT 2025, Vadodara, India, Feb 20–21, 2025, pp. 306-323. doi: https://doi.org/10.1007/978-3-032-08260-2_22
29. Anuj Arora, Apurva Kulkarni, Srinath Srinivasa, “GeoHealth Karnataka: A Geospatial Framework for Comprehensive Healthcare Accessibility Analysis,” Proc. SSTD ’25, Osaka, Japan, Aug 25–27, 2025, pp. 238-242. doi: https://doi.org/10.1145/3748777.3748798
30. Apurva Kulkarni, Chandrashekar Ramanathan, “GRAILS – A Framework for Embedding Ethical Safeguards in Software Applications for Responsible AI,” Proc. AIES 2025, Madrid, Spain, Oct 20–22, 2025, vol. 8 no. 2, pp. 1513-1523. doi: https://doi.org/10.1609/aies.v8i2.36650
31. Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu, “Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models,” Proc. CIKM ’25, Seoul, Korea, Nov 10–14, 2025, pp. 5258–5262. doi: https://doi.org/10.1145/3746252.3760926
ALL to appear in MINRO publication in conference
1. Venkat Suprabath Bitra, Reddy Rani Vangimalla and Jaya Sreevalsan-Nair, “Network-based Diseasome Construction from Multi-omics Data and RadTrix Visualization,” IEEE Transactions on Computational Biology and Bioinformatics Early Access (August 15, 2025).
doi: https://doi.org/10.1109/TCBBIO.2025.3599771
2.Parakram Singh Tanwer, Shishir Maheshwari, Sushree Behera, Amit Chauhan and T. Sunil Kumar, “Evaluation of vision transformers for the detection of fullness of garbage bins for efficient waste management,” Frontiers in Artificial Intelligence: Machine Learning and Artificial Intelligence, vol. 8, September 2025.
doi: https://doi.org/10.3389/frai.2025.1612080
3. Praseeda, Srinath Srinivasa and Prasad Ram, “Learning Map: Representing and Reasoning over Diverse Assimilation Patterns of Learners,” Next Research, Online September 2025 (In Press)
doi:http://https://doi.org/10.1016/j.nexres.2025.100804
4. Debanjali Bhattacharya, Neelam Sinha, R. Yashwanth and Amit Chattopadhyay, “Image complexity-based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning,” Scientific Reports, vol. 15, no.1, October 2025
doi: https://doi.org/10.1038/s41598-025-20635-0
5. Pooja Bassin, Arpitha Malavalli, Srinath Srinivasa and Muikund Raj, “Towards an Intervention Science for Sustainable Development,” ACM Journal on Computing and Sustainable Societies, Online November 2025. doi: https://doi.org/10.1145/3776741
ALL to appear in MINRO publication in conference